A Bayesian analysis of directional data using the projected normal distribution

DOI10.1080/02664760500164886zbMath1121.62453OpenAlexW2090081038WikidataQ58228979 ScholiaQ58228979MaRDI QIDQ3592052

Gabriel Nuñez-Antonio, Eduardo Gutiérrez-Peña

Publication date: 11 September 2007

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664760500164886

zbMATH Keywords

Gibbs samplerlatent variablesradial projectioncircular dataspherical data

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (14)

Directional data analysis under the general projected normal distribution ⋮ A multivariate projected Gamma model for directional data ⋮ Modeling Space and Space-Time Directional Data Using Projected Gaussian Processes ⋮ Recent advances in directional statistics ⋮ Model-based clustering of trends and cycles of nitrate concentrations in rivers across France ⋮ Bayesian nonparametric models of circular variables based on Dirichlet process mixtures of normal distributions ⋮ A clustering Bayesian approach for multivariate non-ordered circular data ⋮ Projected Pólya Tree ⋮ The mean resultant length of the spherically projected normal distribution ⋮ A Bayesian mixture model for clustering circular data ⋮ A Bayesian model for longitudinal circular data based on the projected normal distribution ⋮ Bayesian analysis of circular distributions based on non-negative trigonometric sums ⋮ A mixture of linear-linear regression models for a linear-circular regression ⋮ Hierarchical Bayesian small area estimation for circular data

Cites Work

• A Unified View of the Theory of Directional Statistics, 1975-1988
• Statistical Analysis of Spherical Data
• Projected Multivariate Linear Models for Directional Data
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